← Search

Arash Golibagh Mahyari

2 accepted papers

2021

Policy Augmentation: An Exploration Strategy For Faster Convergence of Deep Reinforcement Learning Algorithms

ICASSP 2021accepted

Despite advancements in deep reinforcement learning algorithms, developing an effective exploration strategy is still an open problem. Most existing exploration strategies either are based on simple heuristics, or require the model of the environment, or train additional deep neural networks to gene…

Cited by 0SourceScholar
2017

Structured dictionary learning for sparse common component and innovation model

ICASSP 2017accepted

Event-related potentials (ERP)s are electrophysiological responses that are commonly used for detecting the brain response to external stimuli. In this paper, we propose to use the sparse common component and innovations model (SCCI) to extract ERPs from multiple EEG signals recorded across closely…

Cited by 0SourceScholar